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A Novel Correction for the Multivariate Ljung-Box Test
This research introduces an analytical improvement to the Multivariate Ljung-Box test that addresses significant deviations of the original test from the nominal Type I error rates under almost all scenarios. Prior attempts to mitigate this issue have been directed at modification of the test statistics or correction of the test distribution to achieve precise results in finite samples. In previous studies, focused on designing corrections to the univariate Ljung-Box, a method that specifically adjusts the test rejection region has been the most successful of attaining the best Type I error rates. We adopt the same approach for the more complex, multidimensional time series scenarios. We use large sample simulation data for a range of values of sample sizes, lags, and number of time series to obtain an empirical estimation of the correct rejection regions for the particular combination of values of these variables. Furthermore, we use a regression modeling with interactions and covariate power combinations to parametrically extend these precise rejection regions to all combination of values of sample sizes, lags, and number of time series. Our results show that we attain almost perfect Type I error rates across all scenarios. These findings will improve the goodness-of-fit diagnostics for multivariate time series analysis
Fast Fashion: A Thorough Examination on Human Rights Violations in Bangladesh and Global Environmental Degradation
Fast fashion is one of the most popular industries in the world as it provides consumers with clothing at an affordable price, however, despite its heightened popularity, it is one of the leading industries in human rights violations and environmental degradation. The thesis explores the different implications of fast fashion in a form that focuses on the human right violations workers are enduring and the global effect of such high demand for fast fashion. It uses a mixed methodology composed of both qualitative and quantitative data. Qualitative data is used to analyze the historical impact fast fashion has on human rights in outsourced nations, Bangladesh, and the global environment. While quantitative data is used to measure poverty, the number of ready-made garment workers that have endured human rights violations, media coverage, and to determine the overall dimension of the issue. This research also examines the role of fashion retail companies in human rights violations and environmental degradation. It dissects the involvement of fast fashion in human right violations and environmental impact and examines the symmetrical relationship
The Sensory Accommodation Framework for Technology: Bridging Sensory Processing to Social Cognition
This book provides a thorough introduction to the many facets of designing technologies for autism, with a particular focus on optimizing visual attention frameworks. This book is designed to provide a detailed overview of several aspects of technology for autism. Each Chapter illustrates different parts of the Sensory Accommodation Framework and provides examples of relevant available technologies. The books first discusses a variety of skills that make up human development as well as a history of autism as a diagnosis and the birth of the neurodiversity movement. It goes on to detail individual types of therapy and how they interact with autism. The systems involved in sensory processing and their specific relation to autism are then explored, including through technologies that have addressed these areas and applications for designers. Readers will learn about designing sensory environments and sensory interactions, such as through virtual reality. This book places a needed emphasis on the hierarchy of information in technology development by exploring visual attention in neurodivergent conditions like autism, ADHD, and dyslexia. It also delves into the relationship between sensory perception and nonverbal communication, the bridge between sensory input and social behavior, and dynamic information. The discussion is rounded out with examinations of temporal processing as and multisensory integration as complicating factors that have existing technological solutions. Finally, the book closes with a summary of the sensory accommodation framework in respect to how each layer offers different user experience goals and specific mechanisms to promote those goals. Readers from a variety of research backgrounds will find this book informative and useful, while designers will learn essential skills for effectively designing autism technologies.https://digitalcommons.chapman.edu/engineering_books/1001/thumbnail.jp
Programmable Heisenberg Interactions Between Floquet Qubits
The trade-off between robustness and tunability is a central challenge in the pursuit of quantum simulation and fault-tolerant quantum computation. In particular, quantum architectures are often designed to achieve high coherence at the expense of tunability. Many current qubit designs have fixed energy levels and consequently limited types of controllable interactions. Here by adiabatically transforming fixed-frequency superconducting circuits into modifiable Floquet qubits, we demonstrate an XXZ Heisenberg interaction with fully adjustable anisotropy. This interaction model can act as the primitive for an expressive set of quantum operations, but is also the basis for quantum simulations of spin systems. To illustrate the robustness and versatility of our Floquet protocol, we tailor the Heisenberg Hamiltonian and implement two-qubit iSWAP, CZ and SWAP gates with good estimated fidelities. In addition, we implement a Heisenberg interaction between higher energy levels and employ it to construct a three-qubit CCZ gate, also with a competitive fidelity. Our protocol applies to multiple fixed-frequency high-coherence platforms, providing a collection of interactions for high-performance quantum information processing. It also establishes the potential of the Floquet framework as a tool for exploring quantum electrodynamics and optimal control